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ADNI publication pdfs can be searched by year, journal, author, or keyword using the search boxes below.
6006 Total Publications
| Year | Title | Author | Journal |
|---|---|---|---|
| 2015 | A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application | Ge, T., Nichols, T. E., Ghosh, D., Mormino, E. C., Smoller, J. W., & Sabuncu, M. R. | Journal Neuroimage; |
| 2015 | Altered Gray Matter Structural Covariance Networks in Early Stages of Alzheimer’s Disease | Montembeault, M., Rouleau, I., Provost, J.-S., & Brambati, S. M. | Journal Cerebral Cortex; |
| 2015 | Effect of EPHA1 Genetic Variation on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer’s Disease Cohorts | Wang, H.-F., Tan, L., Hao, X.-K., Jiang, T., Tan, M.-S., Liu, Y., … Yu, J.-T. | Journal Journal of Alzheimer's Disease; |
| 2015 | The role of visualization and 3-D printing in biological data mining | Weiss TL1, Zieselman A1, Hill DP1, Diamond SG2, Shen L3, Saykin AJ3, Moore JH4; Alzheimer’s Disease Neuroimaging Initiative. | Journal BioData Min; |
| 2015 | Suspected non-AD pathology in mild cognitive impairment. | Wisse LEM, Butala N, Das SR, et al. | Journal Neurobiology of Aging; |
| 2015 | Leveraging existing data sets to generate new insights into Alzheimer's disease biology in specific patient subsets | Fowler, KD, Funt, JM, Artyomov, MN, Zeskind, B, Kolitz, SE and Towfic, F | Journal Scientific Reports; |
| 2015 | Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer's Disease and Mild Cognitive Impairment | Goryawala, M, Zhou, Q, Barker, W, Loewenstein, DA, Duara, R and Adjouadi, A | Journal Computational Intelligence and Neuroscience; |
| 2015 | Anatomical Correlates of the Neuropsychiatric Symptoms in Alzheimer's Disease | Hu, XC, Meiberth, D, Newport, B, Jessen, F and Alzheimer's Dis Neuroimaging, I | Journal Current Alzheimer Research; |
| 2015 | Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data | Huynh, T, Gao, Y, Kang, J, Wang, L, Zhang, P and Shen, D | Journal Mach Learn Med Imaging; |
| 2015 | Bayesian segmentation of brainstem structures in MRI | Iglesias, JE, Van Leemput, K, Bhatt, P, Casillas, C, Dutt, S, Schuff, N, Truran-Sacrey, D, Boxer, A, Fischl, B and Alzheimer's Dis Neuroimaging, I | Journal Neuroimage; |
